Traditionally, vehicle routing is optimized for travel time or distance. However, there are contexts where routes that prioritize safety over other criteria are needed. This disclosure describes techniques that use publicly-available vehicle crash data and machine learning models trained on roadway characteristics, driver behavior, environmental factors, etc. to predict the likelihood of an accident on a given route. The historical data and the predictions made by the model are used as signals to rank recommended routes in a navigation system.
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N/A, "Safety-aware Routing Using Machine Learning", Technical Disclosure Commons, (May 13, 2020)